Latest AI News
Maintaining momentum and morale during the long road to FDA approval, with Robhy Bustami, BioticsAI
Surviving the long road to FDA approval isn’t just about building great technology — it’s about keeping your team motivated, finding the right investors, and learning how to operate when timelines are uncertain. This week on Build Mode, Isabelle Johannessen sits down with Robhy Bustami, co-founder and CEO of BioticsAI, a Startup Battlefield-winning company building an AI copilot for ultrasound to help detect fetal abnormalities. From a $100,000 prototype to FDA clearance, Bustami shares what it actually takes to build in one of the most regulated industries in the world. In this episode, they break down what it really looks like to build a medtech startup, including where you can’t “move fast and break things” and that every milestone takes time, coordination, and trust. This conversation covers: Subscribe to Build Mode onApple Podcasts,Spotify, orwherever you like to listen. Watch the full videos onYouTube.New episodes ofBuild Modedrop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams. Apply to Startup Battlefield:We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself). Be sure to say you heard about Startup Battlefield from the Build Mode podcast.Apply here. TechCrunch Disrupt 2026:We’re back for TechCrunch Disrupt on October 13 to 15 in San Francisco, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with thousands of founders, VCs, and tech enthusiasts, thengrab your tickets. Use codebuildmode15 for 15% off any ticket type.
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Stripe introduces Link, a digital wallet that autonomous AI agents can use, too
Financial services platform Stripe isintroducinga digital wallet specifically built for the AI era, where autonomous agents can perform tasks that include shopping, paying for reservations, buying tickets, and more. At itsannual conference this week,the company introducedLink, a wallet that allows you to connect various payment methods, track your spending, and view your recurring subscriptions. It also lets you integrate your AI agents so they can spend on your behalf, securely. Link, which is available on theweb,iOS,andAndroid, offers many things that you might expect from a digital wallet. You can connect payment methods, including cards, banks, crypto wallets, and buy now/pay later services, as well as store important details for online checkout like your billing and shipping information. The wallet offers other handy features, too, like the ability to see what you’re spending, and track your recurring subscriptions — even updating the payment method the services have on file, as needed. It also offers 90 days of protection on eligible purchases from select merchants. But what makes Link interesting is its ability to work with autonomous AI agents, likeOpenClawand others. The number of people experimenting with autonomous AI has been booming, to the point thatApple sold out of its base model Mac Minis, a popular platform for running these new, always-on AI agents. However, some people (rightly) take pause at the idea of giving an agent raw payment information, even if it’s providing convenience by automating various bookings. Link is meant to offer a solution, as users can connect their AI agents and give them permission to pay, without exposing their payment credentials. To work, users will first grant their agent access to the Link wallet via an OAuth (standard authentication) flow. The agent can then create a spend request, provide you with the context, and wait for your approval. Currently, it works with traditional payment methods, but Stripe says support for agentic tokens, stablecoins, and other types of payments is coming “soon.” On mobile and web, users will get a notification to approve the spend request, which requires they first review the transaction before the payment credential is shared with the AI agent. In the future, Stripe says it will expand its controls so users can set their own spending limits, or even choose when their agents can act without approval. The wallet has been built on Stripe’snew Issuing for agents, which lets users issue virtual cards for agents to use to make purchases autonomously, with real-time authorization, spending controls, and full transaction visibility. Instead of giving an agent access to your payment credentials, users can either give agents programmatic access to Link, which provides a one-time-use card, or they can use aShared Payment Token(SPT), which is backed by payment cards and banks. Developers and businesses building agents or AI personal assistants can also use Link’s wallet instead of building their own wallet from scratch, Stripe notes.
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Keeping your team motivated when FDA approval isn’t guaranteed
Loading the player… Surviving the long road to FDA approval isn’t just about building great technology — it’s about keeping your team motivated, finding the right investors, and learning how to operate when timelines are uncertain. This week on Build Mode, Isabelle Johannessen sits down with Robhy Bustami, co-founder and CEO of BioticsAI, a Startup Battlefield-winning company building an AI copilot for ultrasound to help detect fetal abnormalities. From a $100,000 prototype to FDA clearance, Bustami shares what it actually takes to build in one of the most regulated industries in the world. In this episode, they break down what it really looks like to build a medtech startup, including where you can’t “move fast and break things” and that every milestone takes time, coordination, and trust. This conversation covers: Subscribe to Build Mode onApple Podcasts,Spotify, orwherever you like to listen. Watch the full videos onYouTube. New episodes ofBuild Modedrop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams. Apply to Startup Battlefield:We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself). Be sure to say you heard about Startup Battlefield from the Build Mode podcast.Apply here. TechCrunch Disrupt 2026:We’re back for TechCrunch Disrupt on October 13 to 15 in San Francisco, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with thousands of founders, VCs, and tech enthusiasts, thengrab your tickets. Use codebuildmode15 for 15% off any ticket type.
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Google’s Gemini AI assistant is hitting the road in millions of vehicles
Googleannouncedon Thursday that it will begin rolling out Gemini to cars with Google built-in, marking a significant upgrade from the current Google Assistant. The move signals Google’s push to bring more advanced, conversational AI into the driving experience. The announcement follows closely behind news fromGeneral Motors, whichrevealedyesterday that Gemini is coming to approximately 4 million vehicles from model year 2022 and newer, spanning brands like Cadillac, Chevrolet, Buick, and GMC. However, today’s announcement didn’t name specific automakers, suggesting that Gemini won’t be limited to GM vehicles. The rollout will begin in the U.S. with English-language support, with availability expanding over the coming months. Notably, Gemini isn’t just reserved for new vehicles, but also for compatible existing cars via software updates. Cars with Google built-in first launched in 2020. Now, according to Google, the new Gemini update enables a more natural, conversational way for drivers to interact with their vehicles. Soon, drivers will be able to speak more freely to complete tasks, explore ideas, or retrieve information. For instance, a driver could say they want to stop for lunch at a highly rated sit-down restaurant with outdoor seating along their route. Gemini can pull relevant suggestions using data from Google Maps, then handle follow-up questions like parking availability or menu options, including dietary preferences. Gemini can also complete tasks like turning on the heat, provide directions, recommend music, retrieve vehicle information, summarize incoming messages, and help drivers respond hands-free. Additionally, there’s Gemini Live, which is currently in beta and allows for more open-ended, real-time conversations. Drivers can activate it by tapping a button in the interface or by saying, “Hey Google, let’s talk,” enabling brainstorming, learning, or general discussion while on the road. Drivers who are signed into their Google accounts in compatible vehicles will be prompted with the option to upgrade. Once enabled, Gemini can be accessed through voice commands, the on-screen microphone, or steering wheel controls. Google says it plans to expand Gemini support to additional languages and regions. Future updates are also expected to deepen integration with services like Gmail, Google Calendar, and Google Home.
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FDA approval, fundraising, and the reality of building in healthcare according to BioticsAI founder
Founders building in the healthcare space can’t just build fast and break things. Timelines stretch longer, stakes are higher, and success depends on navigating systems that reward rigor over speed. That’s exactly the reality Robhy Bustami, co-founder and CEO of BioticsAI, has been building in. His company is developing an AI copilot for ultrasound that helps detect fetal abnormalities, an area where misdiagnosis rates remain surprisingly high. Bustami joined Isabelle Johannessen on Build Mode to discuss how the company has navigated a highly regulated space and kept the team motivated while cutting through all the red tape. BioticsAI started scrappy. The team built an early, functioning version of the product for under $100,000, an almost unheard-of milestone in the medical device world. That prototype helped themwin TechCrunch Startup Battlefield in 2023, bringing early visibility and credibility. In January, theygained FDA approval, which means they can begin launching in hospitals and growing the business at a new rate. From day one, the team approached product development with FDA approval in mind. Instead of building first and figuring out regulation later, they integrated clinical validation, regulatory strategy, and product development into a single process. That meant working closely with clinicians, collecting large-scale datasets, and running structured clinical studies before ever reaching the submission stage. The FDA process itself is often viewed as a black box, but Bustami emphasizes that founders don’t have to navigate it blindly. Early engagement with regulators, through pre-submission meetings, helped the team align on study design and expectations. Still, risk never fully disappears. For many investors, the biggest question is simple: What if the FDA says no? Internally, those long timelines create a different kind of challenge: keeping a team motivated when the biggest milestone is years away. At BioticsAI, that meant building a culture of alignment across engineers, clinicians, and researchers, ensuring everyone got to see the wins that were happening. “Making sure everyone is completely aligned, even if it’s outside of their technical scope,” Bustami said, “constantly seeing wins on the R&D side,” from clinical studies to new healthcare partnerships. Now, with FDA clearance secured, BioticsAI is entering a new phase: deployment. The company is beginning to roll out its technology in hospitals, with plans to expand beyond obstetrics into broader areas of reproductive health. Loading the player… Building in healthcare is a long game. It requires patience, discipline, and a willingness to operate in uncertainty. For founders willing to take that path, the reward isn’t just a successful company — it’s the chance to build something that genuinely changes how care is delivered. Subscribe to Build Mode onApple Podcasts,Spotify, orwherever you like to listen. Watch the full videos onYouTube. Isabelle Johannessen is our host.Build Modeis produced and edited by Maggie Nye. Audience Development is led by Morgan Little. And a special thanks to the Foundry and Cheddar video teams. Apply to Startup Battlefield:We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself). Be sure to say you heard about Startup Battlefield from the Build Mode podcast.Apply here. TechCrunch Disrupt 2026:We’re back for TechCrunch Disrupt on October 13 to 15 in San Francisco, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with thousands of founders, VCs, and tech enthusiasts, thengrab your tickets. Use codebuildmode15 for 15% off any ticket type.
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Elon Musk testifies that xAI trained Grok on OpenAI models
OpenAI and Anthropic have been on the warpath lately against third-party efforts to train new AI models by prompting their publicly accessible chatbots and APIs, a process known as “distillation.” That conversation has focused on Chinese firmsusing distillationto create open-weight models that are nearly as capable as U.S. offerings, but available at a much lower cost. However, tech workers have widely assumed that American labs use these techniques on each other to avoid falling behind competitors. Now we know it’s true in at least one case: On the standin a California federal courton Thursday, Elon Musk was asked if xAI has used distillation techniques on OpenAI models to train Grok, and he asserted it was a general practice among AI companies. Asked if that meant “yes,” he said, “Partly.” Musk is in theprocess of suing OpenAI, CEO Sam Altman, and Greg Brockman, alleging they breached the original nonprofit mission for OpenAI by shifting the entity to a for-profit structure. That trial began this week, featuring testimony from the tech leader. Musk’s admission is notable because distillation threatens AI giants by undermining the advantage they’ve built by investing in compute infrastructure. This allows other software makers to create models that are nearly as capable on the cheap. There’s no small amount of irony here, given the bending and alleged breaking of copyright rules by frontier labs in their search for sufficient data to train their models. It’s no surprise that Musk’s xAI, which started in 2023, years after OpenAI, would try to learn from the then-leader in the field. It’s not clear that distillation is explicitly illegal, but rather may violate the terms of service companies set for the user of their products. OpenAI, Anthropic, and Google havereportedlylaunched an initiative through the Frontier Model Forum to share information about how to combat distillation attempts from China. These typically involve systematic querying of models to understand their inner workings. To stop the efforts, frontier labs are working to prevent users from making suspicious mass queries. OpenAI did not respond to a request for comment on Musk’s admission at press time. Later in his testimony, Musk was asked about a claim he made last summer that xAI would soon be far beyond any company besides Google. In response, he ranked the world’s leading AI providers, saying Anthropic held the top spot, followed by OpenAI, Google, and Chinese open source models. He characterized xAI as a much smaller company with just a few hundred employees.
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OpenAI announces new advanced security for ChatGPT accounts, including a partnership with Yubico
OpenAI is getting serious about account security. The company on Thursday launchedAdvanced Account Security(AAS), a set of opt-in protections for ChatGPT users designed for high-value individuals — but available to anyone who wants them. As part of that new program, digital security provider Yubicoannouncedit has partnered with OpenAI to link two new security key products to ChatGPT accounts. The company said the partnership was designed to protect users from the threat of phishing, which is considered to be a growing threat for chatbot users. The two companies are releasing a pair of “co-branded” YubiKeys — dubbed the YubiKey C NFC and the YubiKey C Nano. OpenAI has suggested that AAS is a good fit for political dissidents, journalists, researchers, and elected officials — people who engage in politically charged and risky work. One would assume that it might make sense for enterprise users, whose corporate secrets are squirreled away in ChatGPT sessions. “Ultimately, our intent is to drastically reduce the threat of unauthorized access to sensitive data in OpenAI accounts worldwide,” Yubico CEO Jerrod Chong said in press release announcing the deal. Security keys are small pieces of hardware that can be tied to digital accounts and enacted through a computer’s USB ports. A unique cryptographic identifier lives on the key, which allows only the person in possession of it to log into a connected account. If the threat of phished ChatGPT accounts may seem somewhat abstract, there is agrowing body of literatureshowing that bad actors are increasingly targeting chatbot users. Cybercriminals are always on the lookout for extortion-worthy information and, given the intimate nature of most chatbot conversations, there is plenty of fodder when it comes to both enterprise and personal-level users. Digital security is also becoming a bigger focus of the AI industry. Several weeks ago, Anthropic announced a newcybersecurity modelcalled Mythos. Perhaps seeking to steal some of its competitor’s thunder, OpenAI has also made a number of announcements related to digital security. Thursday’s news of the Yubico partnership followed OpenAI’sannouncementthat it’s launching a new framework for digital defense. Of course, a security-key-enabled account does offer stronger protection, but it comes with a tradeoff: If the key is lost, OpenAI won’t be able to help recover access. In practice, that means conversations could be lost for good.
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After dissing Anthropic for limiting Mythos, OpenAI restricts access to Cyber, too
After Sam Altmantrash-talked Anthropic for gatekeepingits cybersecurity tool Mythos by only releasing it to select users, he confirmed that OpenAI would be doing the same with its competing tool, Cyber. Altman said ina post on Xon Thursday that OpenAI will begin rolling out GPT-5.5 Cyber “to critical cyber defenders” in the next few days. OpenAI has an application on its website wherepeople submit informationabout their credentials and planned use in order to gain access. Cyber can perform such tasks as penetration testing, vulnerability identification (and exploitation), and malware reverse engineering, the application implies. It’s intended to be a toolkit to help a company find security holes and test defenses. The fear is that the kit could be misused by the bad guys. When Anthropic similarly restricted access to Mythos,Altman called the tactic fear-based marketing. Some critics also thought so, sayingAnthropic’s rhetoric was overblown. Ironically, an unauthorized group reportedly managedto gain access to Mythos anyway. OpenAI says it’s working to make Cyber more widely available by consulting with the U.S. government and identifying more userswith legit cybersecurity credentials.
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Legal AI startup Legora hits $5.6B valuation and its battle with Harvey just got hotter
Nvidia has laid a new brickin its AI empire. NVentures, its corporate VC fund, has backed Legora,reportedlyits first legal AI investment. Leveraging AI to help lawyers streamline their work, the Swedish-born legal tech startup is competing with U.S. playerHarvey. Alongside Atlassian and other new financial investors, NVentures joined Legora’s cap table as part of a$50 million Series D extensionthat comes a month after the startup’s$550 million Series D. In the interval, this Y Combinator alumcrossed $100 million in annual recurring revenue(ARR) — a milestone that contributed to its new $5.6 billion post-money valuation. This brings Legora’s valuation just a tad closer to Harvey’s, which reached $11 billion last month when Sequoiatripled downon its investment. Andreessen Horowitz, Coatue, Conviction Partners, Elad Gil,Matt Miller’s Evantic, and Kleiner Perkins also participated in that round. Legora, too, is backed by high-profile VCs; but it puts even more emphasis on the big names it secured as clients, such as Bird & Bird, Cleary Gottlieb and Linklaters. According to the company, the platform it launched only 18 months ago is now used by more than 1,000 law firms and in-house legal teams across 50 markets. Harvey has game in that area too. Itclaims100,000 lawyers across 1,300 organization as customers, ranging from global law firms like Hengeler Mueller and Latham & Watkins to corporate legal teams at companies like T-Mobile and Bridgewater. With global leadership as the end goal, the Harvey v. Legora rivalry is one they intend to play on each other’s home turf. Legora has opened multiple offices around the world with the U.S. a key focus for its expansion. Conversely, Harveyis pushing into Europe. With plenty of capital to spend on both sides, that battle has moved to mindshare. Not long afterWinston Weinberg’s companyHarvey signed a brand partnershipwith actor Gabriel Macht, who plays a high-powered lawyer in the TV series Suits, Legora launched an advertising campaignfeaturing movie star Jude Lawunder the slogan “Law just got more attractive.” Both companies may be right to bet heavily on marketing. Rivalry aside, they are built on top of large language models made by AI giants who could well become their competitors. When Anthropiclaunched a legal plugin for Claudenot long ago, several publicly listed legal software companiessaw their stocks drop. Naturally, Legora CEO Max Junestrand says he isn’t concerned. “Foundation models are improving quickly, but the real value is in how they’re applied,” he wrote in a statement. It also shows how the startup instills FOMO among its target users, stating that “the legal teams that embed AI effectively today will shape how the industry evolves.” NVentures’ investment is also a signal that Legora might have enough of a moat to protect them from the model makers, and its bigger rival. However, Nvidia is also known for hedging its bets — after all, it invested bothin AnthropicandOpenAIbeforedeciding it has probably had enough.
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X announces a rebuilt ad platform powered by AI
Elon Musk’s X is still trying to woo back advertisers — this time with a rebuilt, AI-powered ads platform thatstarted to rollouton Thursday. The tech company initiallystruggledto grow ad revenue in the first few years of Musk’s reign, leading it to shift its focus to other monetization channels, includingAI and subscriptions.However, forecastsfromeMarketerindicate that X’s ad business has been turning around as of late, with estimated ad revenue of $2.26 billion in 2025, risingto $2.46 billion in 2026. While that’s still half the size of Twitter’s 2021 ad business, it’s headed in the right direction again. Now, X is hoping to juice that growth further with a new ad platform. According to X, it has begun a “phased rollout” of the new platform, which it claims will have more modern “retrieval and ranking systems,” powered by AI. These changes are meant to make it easier for marketers to create targeted campaigns that they can control. AI will be used to enhance the campaigns, offering better results, more relevant ad placements, and precise targeting, according to X. “Very few companies would have the ambition and technical courage to completely rebuild their entire advertising platform in such a short timeframe. This is classic X and xAI — bold, fast, and focused on building something substantially better for advertisers,” said Monique Pintarelli, head of global advertising at xAI, in astatement posted on X. “We are designing this new ad stack to enable more rapid and seamless integration of ongoing innovation. Advertisers can expect a smooth delivery of continuous improvements and a regular drop of new features as we keep pushing the platform forward.” It’s not surprising that rebuilding X’s ad platform was a priority for the company after itmerged with Musk’s xAI last year. AI has contributed to revenue growth in ad businesses across the tech industry, as this week’s earnings have shown. Google, Meta, and others have been enjoying a “digital ad boom,”The New York Timesnoted this week, as AI systems have helped to automate the various aspects of marketing, from ad creation to targeting to measurement. This has also lowered the barrier for smaller businesses, giving them access to the same tools used by corporate giants, the report said.
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Salesforce is crowdsourcing its AI roadmap — with customers
Artificial intelligence continues to advance at a dizzying clip, forcing enterprises to develop and release new products quicker than ever or risk becoming irrelevant to a faster-moving competitor. Salesforce believes it has found a strategy that allows it to keep up even if it isn’t clear where AI is headed next. The customer management software giant is crowdsourcing its AI roadmap in real time. Salesforce is certainly not the only company to work intimately with its customers for feedback on its products. However, it’s notable considering the sheer size of the company, the pace of new product launches or fixes to existing ones, and the granular level of these relationships. These aren’t annual or even quarterly discussions. Salesforce is meeting with some customers as often as once a week. “The 18,000 customers are a wellspring of information and a wealth of information that is really needed to get to customer success,” Jayesh Govindarajan, executive vice president at Salesforce AI, told TechCrunch in a recent interview. “The stack that we’ve built that has resonated with these customers. Over time we can get context to be better, and as it gets better, and LLMs get better, agent systems do more and more fully autonomous behaviors. That’s a long running innovation track and we’re going to invest in that.” Salesforce was one of the first companies to launchAI agent management softwarein late 2024 before agentic AI started to dominate headlines the following year. The company has since doubled down and continues to release new products forvoice AIandSlackat a rapid pace. Salesforce credits its customers for the rate of its product releases. The company told TechCrunch that by letting its customers lead the way it is able to build an AI product roadmap that can quickly react to where AI technology is headed. When large language models were introduced, enterprises naturally wanted to jump on the technology but didn’t have the last-mile tech needed to fully use LLMs, Muralidhar Krishnaprasad, the president and chief technology officer of Salesforce engineering, told TechCrunch. The need for that last-mile tech is what sparked Salesforce to launch its agent management platform Agentforce, Jayesh Govindarajan, executive vice president at Salesforce AI, said in a recent interview. From there, the company developed a bottom-up strategy led by themes — including agent context, observability, and deterministic controls, among others — as opposed to specific product timelines. This approach uses direct feedback from rotating groups of customers to build products with the assumption that other enterprises will have similar needs. “The innovation that we’ve brought, they are direct result of us working with a vast number of these customers and then classifying the problems they see in the real world,” Govindarajan said. ‘Then [we break] that down and say, which of this can be solved at the LLM layer, which cannot? And for things that we cannot solve at the LLM layer, we need to build that sort of agentic operating system components around the LLMs to be able to go do that.” Working so closely with customers’ engineering teams allows Salesforce to fix problems quickly before the technology evolves past them. “We can’t wait three months or six months to get feedback, and then go figure out another six months of work,” Krishnaprasad said. “We are literally reacting to it, week by week, month by month. That’s been a big change. Now we push code, pretty fast, and we have various sorts of gates to try out new features, get earlier feedback before we release it broadly as well. So those are all changes that we had to do to kind of accommodate this rapid change in this environment.” Engine, a travel management platform, is one of the companies within Salesforce’s customer feedback loop. And it’s not a casual relationship. The company’s operations team meets with Salesforce weekly, according to Engine founder and CEO Elia Wallen. Through the partnership, Engine gets access to AI tools before they’re released. Wallen said the access helps Engine stay competitive and get more value out of these tools than it would otherwise. The relationship goes both ways. Wallen said he’s seen feedback from Engine get implemented into Salesforce tools. For example, Wallen said he instructed an AI voice agent to book him a hotel in Chicago. He thought the voice and interaction felt a bit unnatural and shared that with Salesforce. Shortly after, the agent had been changed and the company’s A/B tests started showing better results. “If somebody is willing to actually help curate and build products that we need, they can help us better and really understand our problem and how they can solve it,” Wallen said. “For us, it’s fantastic to actually be invited into a thing like that, because we can influence the product.” This strategy also allows the company to roll out solutions and workflows built by users to its broader customer base too. Federal credit union PenFed has been able to slim down its tech stack by working closely with Salesforce, Shree Reddy, the company’s chief innovation officer and executive vice president told TechCrunch. “We invest our time, energy into the platforms that are more strategic, and we obviously spend a lot more time on this relationship,” Reddy said about Salesforce. “That investment has yielded good results in terms of strengthening that partnership that’s influencing each other, and what we see is the best value add mutually to both organizations.” Reddy said PenFed developed an IT service management (ITSM) workflow on its own using existing tools and agents in Agentforce that worked well for the company. Salesforce was able to see that success and roll out the tool into the broader platform for other enterprises to use as well. The downside to this approach is that it relies on the classic service sentiment that the customer is always right. Salesforce is hoping they are despite many enterprises still figuring outwhat role AI will playin their business, and many having yet tofind value from the tech. As a result, they might not be the best source for long-term product development. Plus, being willing to test and preview technology in beta now doesn’t necessarily translate to long-term usage habits or future software contracts either. The company also takes this bottom-up approach internally. Govindarajan said Salesforce employees are the biggest users of its AI tools. The company also shifted labor and resources at the start of the AI boom. When ChatGPT was released, Salesforce moved around teams and resources to create a new AI team — a strategy the company has found successful during different innovation waves in the past, Krishnaprasad said. “As the technology changes, we never know what’s going to come out a month from now,” Krishnaprasad said. “We will adapt to it. And that’s what we did all of last year. If you think about it, agents weren’t even in terminology when you look back a year and a half ago. And then we had to go react to it. We had to go react to all the advances, and we had to react to our customers.”
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Google Photos Introduces AI ‘Wardrobe’ Feature Inspired by Clueless
The upcoming feature will use AI to turn users’ photo libraries into a digital closet, enabling outfit creation and curation, organisation and virtual try-ons.
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